Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies

Epigenomics: Finding DNA modifications that predict disease Patterns of chemical modifications on DNA can predict the risk of certain diseases, but the challenge is knowing where to look for them. Atsushi Shimizu from Iwate Medical University in Japan and his colleagues determined the location of th...

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Bibliographic Details
Main Authors:	Tsuyoshi Hachiya, Ryohei Furukawa, Yuh Shiwa, Hideki Ohmomo, Kanako Ono, Fumiki Katsuoka, Masao Nagasaki, Jun Yasuda, Nobuo Fuse, Kengo Kinoshita, Masayuki Yamamoto, Kozo Tanno, Mamoru Satoh, Ryujin Endo, Makoto Sasaki, Kiyomi Sakata, Seiichiro Kobayashi, Kuniaki Ogasawara, Jiro Hitomi, Kenji Sobue, Atsushi Shimizu
Format:	article
Language:	EN
Published:	Nature Portfolio 2017
Subjects:	Medicine R Genetics QH426-470
Online Access:	https://doaj.org/article/a07ddf0c2d804297ad3e9607720e33ff
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Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies

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